Understanding the Data for Logistic Regression

Exploratory Data Analysis before creating a Logistic Regression Model

Train-Test Split

Feature Scaling/Normalization

Class Imbalance

Build and Train Logistic Regression model

Creating our base model

Model Evaluation Metrics

Hyperparameter Optimization for the Logistic Regression Model

Build Model using optimal values of Hyperparameters

Model Evaluation

Applying test data to this tuned model

Feature Scaling/Normalization